Aside

Contact

minh.chau@outlook.co.nz
+64-22-036-1978
Github profile
Personal website
Linkedin

Packages

Statistical Programming:
Experience with R
Exposure to SAS, SPSS, SQL
Web development: HTML, CSS
Machine learning: Python (Entry level)
Reporting: R Markdown, Shiny, Latex
Workflow: Github, Gitlab
MS Office: Excel, Power Point, Word

Strengths

Experience with data wrangling and statistical analysing
Build and maintain professional work relationships
Fluent ability to create evidence-based reports
Understanding of qualitative and quantitative research methods and designs
Ability to collaborate and work independently
Experience with time series forecasting and regression modelling

Main

Minh Chau

I am a persistent and accountable graduate with more than two years experience using statistical packages. I am seeking employment that will enhance my profession as a Junior Data Analyst in producing reliable and useful statistics, and thus contribute to New Zealand society.

Education

Master of Applied Statistics

Victoria University of Wellington

Wellington, NZ

03/2019 - 06/2020

Bachelor of Science in Statistics

Otago University

Dunedin, NZ

03/2015 - 06/2019

Work Experience

Research Assistant

Massey University Wellington

Wellington, NZ

  • Communicate with client clearly to fulfil requirements
  • Prepare and transform survey data for analysis purposes
  • Make informative graphs and tables to present key findings
  • Apply statistical methods to data to produce insightful interpretations that assist the client in making decisions

08/2020 - current

Sessional Assistant

Victoria University of Wellington

Wellington, NZ

  • Mark 100-level statistics assignments and projects
  • Attend to training and meetings
  • Enter assignment grades correctly and in accordance with the marking system’s guidelines

04/2020 - current

Intern/Data Analyst

Harmonic Analytics

Wellington, NZ

  • Wrangle and analyse time series data
  • Investigate and practice predictive modelling techniques
  • Produce an interactive Shiny dashboard to present the methodologies and their relevant statistical results
  • Co-operate with supervisor and manager to deliver according to the client’s requirements

03/2020 - 06/2020

Projects

The following projects which can be found in details on my portfolio, https://minhchauvannguyen.github.io/, have helped me to develop and strengthen my analytical, programming and statistical writing abilities.

Statistical Consulting Assignment

Key skills I learned

N/A

  • Report statistical methodologies and data processes using technical documentating tools
  • Undestand the importance of explanatory analysis in choosing the appropriate statistical procedure for the given data
  • Investigate the relationship between a categorical variable and a continuous variable using Generalised Linear Models (GLMs)

08/2019

Link

Kaggle Data Shiny Application

Key skills I learned

N/A

  • Analyse count data grouped by age and gender to produce relevant statistical measures
  • Perform Poisson regression to understand the relationship between variables
  • Build a Shiny application from scratch
  • Prepare and run a presentation to explain the purpose and describe the function of my Shiny app

09/2019

Link

Cluster Analysis Research Project

Key skills I learned

N/A

  • Practice research methods for statistical models based on theoretical constructs and literature review
  • Examine and perform the analysis of ordinal data through clustering approach
  • Evaluate and compare modes using information criteria
  • Generate a simulation study to access the consistency in the estimation of model parameters

02/2020

Link

Time Series Analysis Shiny Dashboard for Orange data

Key skills I learned

N/A

  • Construct time series models to make predictions for monthly data
  • Achieve thoroughness and emphasise details to ensure the dashboard is user-friendly and appeal to non-statistical audience
  • Build a Shiny dashboard consisting of interactive graphs and tables
  • Track, save and update changes made to the dashboard using version control

06/2020

Link

ICMR in patients under 18 years old follow-up report

Key skills I learned

N/A

  • Interpret the outcomes to answer to the research question and make comments towards future considerations
  • Analyse data in the context of medical statistics
  • Review contingency table analysis in a multi-class setting
  • Construct a Bayesian regression model and a Random forest classification model in R

09/2020

Link

On the left, I have highlighted the skills I learned from my projects and work experience that I think are relevant to the role description.

LANGUAGES
Vietnamese (fluent)

English (fluent)

REFERENCES

Shirley Wu

Operations Manager
Harmonic Analytics
shirley@harmonic.co.nz

Ploi Yibmantasiri

Data Scientist
Harmonic Analytics
ploi@harmonic.co.nz

This resume was made with the R package pagedown.